AI Deployment Lead - Front-Office Banking (Equity Options)

AlphaSense, Inc.

New York (NY)

On-site

USD 145,000 - 200,000

Full time

14 days+
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Job summary

AlphaSense, Inc. is seeking an AI Deployment Lead to drive product roadmap with marquee financial services clients. You bring front-office finance experience, and a vision for blending product development with AI adoption.

You will lead cross-functional engagements, scope core client processes, build trusted relationships, and translate deployments into measurable value for banks using SuperAnalyst.

Qualifications

  • 2+ years of work experience at a top-tier investment bank.
  • Fluency in banking workflows: modeling, valuation, M&A, capital markets, due diligence, and client presentations.
  • Outstanding communicator with ability to build trust with stakeholders.
  • Structured and outcome-oriented with GTM and proof-of-value mindset.
  • Genuine curiosity about AI and willingness to stay on the front line.
  • Bachelor’s degree or above.

Responsibilities

  • Lead forward-deployed engagements to build bespoke AI applications and demos for clients.
  • Build trusted relationships that drive partnership and product adoption.
  • Scope evaluations, calibrate client-specific skills, and define success criteria with evidence.
  • Master AlphaSense and AI tools to translate capabilities into banking workflows.
  • Design new use cases and feed insights back to product roadmap.

Skills

Investment banking experience
Financial modeling
Valuation
M&A
Capital markets
Due diligence
Client presentations
Communication
AI curiosity

Education

Bachelor's degree or above

Job description

AlphaSense, Inc. is seeking an AI Deployment Lead to drive product roadmap with marquee financial services clients. You bring front-office finance experience, and a vision for blending product development with AI adoption.

You will lead cross-functional engagements, scope core client processes, build trusted relationships, and translate deployments into measurable value for banks using SuperAnalyst.

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